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workflow-clinical-decision-support

Generate clinical decision support documents with biomarker-stratified cohort analyses in LaTeX/PDF.

Updated Mar 13, 2026
Search Tags:#document generation#latex#cohort analysis#clinical decision support#biomarker analysis#treatment recommendations#pharmaceutical research
One-click install
npx skills add https://github.com/biomaps-infra/blender-opencode --skill workflow-clinical-decision-support
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: workflow-clinical-decision-support
Source: https://github.com/biomaps-infra/blender-opencode/tree/main/.opencode/skills/workflow-clinical-decision-support
Command: npx skills add https://github.com/biomaps-infra/blender-opencode --skill workflow-clinical-decision-support

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, scipy, lifelines, matplotlib, pyyaml, scikit-learn, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the creation of professional, evidence-based clinical decision support (CDS) documents, streamlining the process for pharmaceutical companies and clinical researchers.

Core Features & Use Cases

  • Automated Document Generation: Creates publication-ready LaTeX/PDF documents for cohort analyses and treatment recommendations.
  • Biomarker Integration: Supports detailed analysis and stratification based on genomic, expression, and molecular biomarkers.
  • Use Case: Generate a biomarker-stratified patient cohort analysis report for a new oncology drug trial, including statistical comparisons and publication-ready figures.

Quick Start

Use the workflow-clinical-decision-support skill to generate a treatment recommendation report for advanced NSCLC based on PD-L1 expression and EGFR mutation status.

Frequently Asked Questions about workflow-clinical-decision-support

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate clinical decision support document generation for patient cohort analysis?▼

Clinical decision support document generation is automated by processing patient cohort data to produce publication-ready LaTeX and PDF reports with integrated statistical comparisons and figures.

Can I integrate genomic and molecular biomarker analysis into treatment recommendation reports?▼

Biomarker integration is supported for treatment recommendation reports, allowing detailed patient stratification and analysis based on genomic, expression, and molecular biomarker data.

What is the best way to create publication-ready PDF documents from pharmaceutical research data?▼

Creating publication-ready PDF documents from pharmaceutical research data is handled by generating LaTeX source files that include statistical analysis results, biomarker stratification, and formatted figures.

Does this workflow support statistical analysis using pandas and lifelines for clinical cohorts?▼

Statistical analysis for clinical cohorts is supported using dependencies like pandas, numpy, scipy, and lifelines to compute survival curves and comparative metrics for the final reports.

How do I generate evidence-based treatment recommendations for oncology drug trials?▼

Evidence-based treatment recommendations for oncology drug trials are generated by analyzing patient cohorts with specific biomarker statuses, such as PD-L1 expression or EGFR mutations, into structured reports.

What are the limitations of automating clinical decision support with Python and LaTeX?▼

Automating clinical decision support with Python and LaTeX requires local configuration of LaTeX distributions and Python dependencies, meaning complex document templates may need manual formatting adjustments.

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